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Quantum Computing with Silq Programming

Quantum Computing with Silq Programming

By : Ganguly, Cambier
4.7 (9)
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Quantum Computing with Silq Programming

Quantum Computing with Silq Programming

4.7 (9)
By: Ganguly, Cambier

Overview of this book

Quantum computing is a growing field, with many research projects focusing on programming quantum computers in the most efficient way possible. One of the biggest challenges faced with existing languages is that they work on low-level circuit model details and are not able to represent quantum programs accurately. Developed by researchers at ETH Zurich after analyzing languages including Q# and Qiskit, Silq is a high-level programming language that can be viewed as the C++ of quantum computers! Quantum Computing with Silq Programming helps you explore Silq and its intuitive and simple syntax to enable you to describe complex tasks with less code. This book will help you get to grips with the constructs of the Silq and show you how to write quantum programs with it. You’ll learn how to use Silq to program quantum algorithms to solve existing and complex tasks. Using quantum algorithms, you’ll also gain practical experience in useful applications such as quantum error correction, cryptography, and quantum machine learning. Finally, you’ll discover how to optimize the programming of quantum computers with the simple Silq. By the end of this Silq book, you’ll have mastered the features of Silq and be able to build efficient quantum applications independently.
Table of Contents (19 chapters)
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1
Section 1: Essential Background and Introduction to Quantum Computing
6
Section 2: Challenges in Quantum Programming and Silq Programming
10
Section 3: Quantum Algorithms Using Silq Programming
14
Section 4: Applications of Quantum Computing

Chapter 10: Quantum Algorithms III – Quantum Fourier Transform and Phase Estimation

The concept of periodicity has a huge impact on various applications that we use today. Periodic functions that repeat their value after certain regular intervals of time are used in important applications, such as the study of signals, systems, and communications. They are also used in studying wave mechanics in physics and vibrations. Apart from this periodicity, it has an impact on the analysis of the factorization process of numbers. It is because of so many useful applications that it becomes necessary to explore and take advantage of periodicity in the quantum computing domain as well.

In this chapter, you will explore the concepts related to periodic-based quantum algorithms, which are very different from the oracle-based quantum algorithms we have discussed so far in previous chapters. This chapter will help you to understand the concepts related to the Fourier transform and implement...

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